Bachelor
2022/2023
Data Analysis in Politics and Journalism
Type:
Elective course (International Bachelor's Programme in World Politics)
Area of studies:
Public Policy and Social Sciences
Delivered by:
Faculty of World Economy and International Affairs
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Maksim Karpov
Language:
English
ECTS credits:
3
Contact hours:
22
Course Syllabus
Abstract
In this intermediate Python course, you will learn how to apply data science methods and techniques to politics and journalism. This course will provide you with knowledge and skills in exploratory data analysis and data visualization. The practical classes are project oriented and cover the basic topics of data science applications. By the end of the course, you will be able to perform your own projects in Python.
Learning Objectives
- To provide an introduction to Python applications in politics and journalism and enable students to conduct research in a reproducible manner.
Expected Learning Outcomes
- ability to perform exploratory data analysis, hypothesis testing and visualization
- Intermediate proficiency in Python libraries for data analysis and visualization (NumPy, Pandas, Matplotlib, Plotly, Scikit-Learn, etc.)
- the knowledge and skills for implementation of own projects in Python
Course Contents
- Review of Python basics, concepts and syntax for data manipulation
- Exploratory data analysis and descriptive statistics using Python packages (Pandas, NumPy)
- Data visualization using matplotlib, seaborn, plotly
Interim Assessment
- 2022/2023 2nd module0.2 * Экзамен + 0.2 * Проект + 0.2 * Мини-тесты + 0.2 * Домашние задания + 0.2 * Контрольная работа
